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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all variables with links to the classes they belong to:</div>

<h3><a id="index_m" name="index_m"></a>- m -</h3><ul>
<li>m_a&#160;:&#160;<a class="el" href="structshark_1_1_merge_budget_maintenance_strategy_3_01_real_vector_01_4_1_1_merging_problem_function.html#a55e9c888e465f88a760d308a8ba5313c">shark::MergeBudgetMaintenanceStrategy&lt; RealVector &gt;::MergingProblemFunction</a></li>
<li>m_A&#160;:&#160;<a class="el" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38">shark::Normalizer&lt; VectorType &gt;</a></li>
<li>m_accessCount&#160;:&#160;<a class="el" href="classshark_1_1_qp_config.html#a073a19a266651c9a689f433b93ea4e3f">shark::QpConfig</a></li>
<li>m_accessCounter&#160;:&#160;<a class="el" href="classshark_1_1_example_modified_kernel_matrix.html#afba580c85e7eb485c1306351cfa6f495">shark::ExampleModifiedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_kernel_matrix.html#a17fb1e46081d897929fb51e0b69128ed">shark::GaussianKernelMatrix&lt; T, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_matrix.html#ad16c20b5f5548be63756ff22c3d33926">shark::KernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>m_accuracy&#160;:&#160;<a class="el" href="classshark_1_1_lasso_regression.html#af10df12bdcf1d2b03a71c5867a51cd9f">shark::LassoRegression&lt; InputVectorType &gt;</a></li>
<li>m_active&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a575b8d0676d0e0f1ab8f476c0e28e434">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#a53377e65ea2637c37acb3f7523a837fc">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>m_activeEx&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#abd89ad37077119ea36d9f2641f2dd83d">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#ad7997f63459adc594c8d1cd649438838">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_activeVar&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a8c7ff90187025384bdc8c4c521d66b11">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#aac002eeaa49e5ff3b667f9934d92392f">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_adaptWeights&#160;:&#160;<a class="el" href="classshark_1_1_weighted_sum_kernel.html#a763f50399f37666fc1f81a6fed05e062">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>m_algorithm&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#a2987f11dfe9ee6e005e93ea7fca138ec">shark::PCA</a></li>
<li>m_alpha&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#a389de13ed64569e21da0f57e42efc39d">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265">shark::KernelExpansion&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_qp_box_linear.html#af77735b134d075719f94fe773b3f1232">shark::QpBoxLinear&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_box_decomp.html#ad7bcf70932ab693e3d3afc1c11c26ffa">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a273c3111e4f92b69208b8d6956d92632">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a>, <a class="el" href="structshark_1_1_reference_vector_guided_selection.html#aa70d7ca4f48a31dbe4e838e9ebb5c581">shark::ReferenceVectorGuidedSelection&lt; IndividualType &gt;</a></li>
<li>m_alphaStatus&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#a37d6169989efa917c76435eb50167a7b">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>m_b&#160;:&#160;<a class="el" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2">shark::KernelExpansion&lt; InputType &gt;</a>, <a class="el" href="structshark_1_1_merge_budget_maintenance_strategy_3_01_real_vector_01_4_1_1_merging_problem_function.html#a1553e03dffa8dcca196a26b40d477cbe">shark::MergeBudgetMaintenanceStrategy&lt; RealVector &gt;::MergingProblemFunction</a>, <a class="el" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf">shark::Normalizer&lt; VectorType &gt;</a></li>
<li>m_base&#160;:&#160;<a class="el" href="classshark_1_1_block_matrix2x2.html#ab7a2a52cee90714069a86f5bd8fb0bb2">shark::BlockMatrix2x2&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#ad7a155510b5d36a093edf6d0afd7c67d">shark::NormalizedKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678">shark::PointSetKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a04fa2a023b7166f2a0dc4daeb5ef25c4">shark::ScaledKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a4028738f9aa22e1edab8867bb2aff529">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>m_baseMatrix&#160;:&#160;<a class="el" href="classshark_1_1_partly_precomputed_matrix.html#a23fe0f2623b4208befc7c292fe95114e">shark::PartlyPrecomputedMatrix&lt; Matrix &gt;</a></li>
<li>m_basis&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#aa37ffb53e952460a43a53f66d2483603">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7">shark::KernelExpansion&lt; InputType &gt;</a></li>
<li>m_best&#160;:&#160;<a class="el" href="classshark_1_1_abstract_multi_objective_optimizer.html#ac4e394bda4b2442031f851c742a83eaa">shark::AbstractMultiObjectiveOptimizer&lt; PointTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_single_objective_optimizer.html#a4740a0f8e9d5c7d99cf0dd0c3ee0e8a0">shark::AbstractSingleObjectiveOptimizer&lt; PointType &gt;</a></li>
<li>m_binary&#160;:&#160;<a class="el" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a></li>
<li>m_boundedAlphaIndices&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#a1e8289e061e797734a65706b7759a6c0">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>m_boundedAlphas&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#a4e241e0dd76c9c4542dbb11215ff27bd">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>m_boundedLabels&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#a9d4715c464f82da4b5be48d18111997e">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>m_budgetMaintenanceStrategy&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a02e70a83231e2f686b861b9d353ffe23">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>m_budgetSize&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#adefa2c47996b1323231f69b96c0be778">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>m_C&#160;:&#160;<a class="el" href="classshark_1_1_abstract_linear_svm_trainer.html#a8c550ac91378f3c0239969414f2fd28a">shark::AbstractLinearSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_c_svm_derivative.html#aa6ebca73981c2e0c5998ad29305dfb71">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a6c9ddc984e879808a91364668b27da4f">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#a374547615c259b8b19ca846fac2a9753">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>m_c&#160;:&#160;<a class="el" href="classshark_1_1_population_based_step_size_adaptation.html#a3c6dadb4074bae9cf45e91d01f44c251">shark::PopulationBasedStepSizeAdaptation</a></li>
<li>m_C&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#af9dc4119649bae0b499bb357bc597ca4">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a9a6ceeb1c95124d14fd75a061282063e">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_cache&#160;:&#160;<a class="el" href="classshark_1_1_cached_matrix.html#a8beb8003d800373adbea3036690f85d8">shark::CachedMatrix&lt; Matrix &gt;</a></li>
<li>m_cachedMatrix&#160;:&#160;<a class="el" href="classshark_1_1_partly_precomputed_matrix.html#a3f00c54a5f0091362ff9e97585e08718">shark::PartlyPrecomputedMatrix&lt; Matrix &gt;</a></li>
<li>m_cacheSize&#160;:&#160;<a class="el" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#a3266b159eb84e746be2d35ff719c26bd">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_one_class_svm_trainer.html#a850191fb0efea7bb2af4fdc3a06e70a4">shark::OneClassSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_partly_precomputed_matrix.html#a0c38550f063ffc8d3aaa50c4889bd85a">shark::PartlyPrecomputedMatrix&lt; Matrix &gt;</a></li>
<li>m_cardP&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#aaafb26db48c0503662b4be923a524897">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a4998fe91e32ad7b0248b7ae9bf049698">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_centerpoint&#160;:&#160;<a class="el" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">shark::CircleInSquare</a></li>
<li>m_centers&#160;:&#160;<a class="el" href="classshark_1_1_r_b_f_layer.html#a47e3acee6084df0af2c5cfcfd116c57d">shark::RBFLayer</a></li>
<li>m_centroids&#160;:&#160;<a class="el" href="classshark_1_1_centroids.html#a8e83776854b0e78d1357e7ef880db67f">shark::Centroids</a></li>
<li>m_chromosome&#160;:&#160;<a class="el" href="classshark_1_1_individual.html#aae9d6e09eb149ef22e25c0cba97ee2ed">shark::Individual&lt; PointType, FitnessTypeT, Chromosome &gt;</a></li>
<li>m_classes&#160;:&#160;<a class="el" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a4945d9b2146550ec74e0a228b310ba18">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear.html#a3deaa3c8d8f3b5a15ffc509ed17a0398">shark::QpMcLinear&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a4b3c753187efbb58b433a76face7a52d">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_classifierNorm&#160;:&#160;<a class="el" href="classshark_1_1_missing_features_kernel_expansion.html#a53f8ae12d117e2ca8065511668c673ad">shark::MissingFeaturesKernelExpansion&lt; InputType &gt;</a></li>
<li>m_configured&#160;:&#160;<a class="el" href="classshark_1_1_grid_search.html#a36538b13ff96f301f26a0c96e222e5cd">shark::GridSearch</a>, <a class="el" href="classshark_1_1_nested_grid_search.html#aba7c13a5f426918e4e64760d7e5b3624">shark::NestedGridSearch</a>, <a class="el" href="classshark_1_1_point_search.html#ae00113b568af68edabb8e2637a4b12ac">shark::PointSearch</a></li>
<li>m_constraintHandler&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#abcb65bca56cbfead4a3956e81d0d97d8">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a></li>
<li>m_cost&#160;:&#160;<a class="el" href="classshark_1_1_discrete_loss.html#aaba02f422ee227ce0fbb2a39150d4253">shark::DiscreteLoss</a></li>
<li>m_count&#160;:&#160;<a class="el" href="classshark_1_1_c_g.html#ad71c940a77cf02a297e57c7f0f61412c">shark::CG&lt; SearchPointType &gt;</a></li>
<li>m_counter&#160;:&#160;<a class="el" href="classshark_1_1_cross_entropy_method.html#a17dbfb74c2056350e1bc7b643c63d6b2">shark::CrossEntropyMethod</a></li>
<li>m_covarianceMatrixLearningRate&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a20bac09c3fe5303052fda9eb6482f0d4">shark::CMAChromosome</a></li>
<li>m_covarianceMatrixUnlearningRate&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a4ef9704be8fe2674fe29e69e59a122dc">shark::CMAChromosome</a></li>
<li>m_cutDim&#160;:&#160;<a class="el" href="classshark_1_1_k_d_tree.html#a34933db0a72046a41df17937fd4f5fa5">shark::KDTree&lt; InputT &gt;</a></li>
<li>m_d&#160;:&#160;<a class="el" href="classshark_1_1_population_based_step_size_adaptation.html#ab49e73e5dd7254ff6842aba045df622e">shark::PopulationBasedStepSizeAdaptation</a></li>
<li>m_d_alphab_d_theta&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#af618384c52d790cc609ade3a522b38d8">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>m_data&#160;:&#160;<a class="el" href="group__shark__globals.html#ga2296f2d35aff4d00d07a5d6c99015197">shark::Data&lt; Type &gt;</a>, <a class="el" href="classshark_1_1_gaussian_task_kernel.html#a5e8007b13b2c708f693b06cd48872909">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_kernel_matrix.html#a741a640e9f67a6c381c7d298b36ee1b0">shark::KernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="group__shark__globals.html#ga209379fc66f7caed4c18928e854dcf84">shark::LabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="classshark_1_1_qp_box_linear.html#a34abab91280fd4241fcd454de20149ba">shark::QpBoxLinear&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear.html#ab724fc27e23748209c439970919afdc1">shark::QpMcLinear&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_sparse_array.html#ab5cfd3694af7a89bb9a9a2ffbdbcfa15">shark::QpSparseArray&lt; QpFloatType &gt;</a>, <a class="el" href="classshark_1_1_unlabeled_data.html#a2296f2d35aff4d00d07a5d6c99015197">shark::UnlabeledData&lt; InputT &gt;</a></li>
<li>m_dataset&#160;:&#160;<a class="el" href="classshark_1_1_difference_kernel_matrix.html#a43a940b138c388c62acd5e705f676646">shark::DifferenceKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_loo_error.html#a5a0ada9191df98c3e76945c933c0baee">shark::LooError&lt; ModelTypeT, LabelType &gt;</a>, <a class="el" href="classshark_1_1_radius_margin_quotient.html#a04a7f50772dd0474897867490ddf38fb">shark::RadiusMarginQuotient&lt; InputType, CacheType &gt;</a></li>
<li>m_db_dParams_from_solver&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#ae64df699b30ae931165780b9e2301ede">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>m_decreaseFactor&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#a8e529c7460eee4b633db970572450ac0">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_degree&#160;:&#160;<a class="el" href="classshark_1_1_polynomial_kernel.html#adaca4b07daccd3516ea596f541944bef">shark::PolynomialKernel&lt; InputType &gt;</a></li>
<li>m_degreeIsParam&#160;:&#160;<a class="el" href="classshark_1_1_polynomial_kernel.html#a936f25c06c90446d740dcbcc730a269c">shark::PolynomialKernel&lt; InputType &gt;</a></li>
<li>m_delta&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#affadb8b3614b3b8ff1c5a94a4e3878b5">shark::Rprop&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_trust_region_newton.html#a303add905011b4cf678b4c3eb204ac1b">shark::TrustRegionNewton</a></li>
<li>m_deltaw&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#a97c2b98a403a2dcfa4b57140e85d0b74">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_derivative&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#a603e289c36809ac54f4b68f1fc039854">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_rprop.html#a678dae5fcefbec650622cf4700ef8e8d">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_derivatives&#160;:&#160;<a class="el" href="classshark_1_1_trust_region_newton.html#a57a6384549c0b1bdf613817c3664cbbc">shark::TrustRegionNewton</a></li>
<li>m_diagMod&#160;:&#160;<a class="el" href="classshark_1_1_regularized_kernel_matrix.html#aea1357071964b834f427e45f9d3bb304">shark::RegularizedKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>m_dim&#160;:&#160;<a class="el" href="classshark_1_1_qp_box_linear.html#acaabcca91e016569f345712678d2aa28">shark::QpBoxLinear&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear.html#a04cb0e529976e34569d0b6863e36b881">shark::QpMcLinear&lt; InputT &gt;</a></li>
<li>m_dimension&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#ae6353cf1a8be6c679819b27301810d82">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a></li>
<li>m_dimensions&#160;:&#160;<a class="el" href="classshark_1_1_circle_in_square.html#add4c679abb7b33b1511a15c9a84035f1">shark::CircleInSquare</a></li>
<li>m_dimOffset&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#acd01d7f5d8e45d4c0417a2302fed67bd">shark::CMACMap</a></li>
<li>m_eigenvalues&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#a4fa5f42a2412a520846a57323bdf0376">shark::PCA</a></li>
<li>m_eigenvectors&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#ae49e453937be746737aa2d13b38e16a1">shark::PCA</a></li>
<li>m_elements&#160;:&#160;<a class="el" href="classshark_1_1_combined_objective_function.html#ab017e677f9b5818d588a94584de164c1">shark::CombinedObjectiveFunction&lt; SearchPointType, ResultT &gt;</a></li>
<li>m_epochs&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a70e4a98aa96a4a85f15dd0fecb2956f1">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#a0230c6c90039fd6dbc20dd5192c69c8b">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>m_equal_class_prob&#160;:&#160;<a class="el" href="classshark_1_1_circle_in_square.html#abbf7bf1bbdc3cadf5d98058553e9ce2e">shark::CircleInSquare</a></li>
<li>m_errorBound&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_contribution_approximator.html#aa4ee55eed212e9d241500366342088d9">shark::HypervolumeContributionApproximator</a></li>
<li>m_errorProbability&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_contribution_approximator.html#a7f253b29cea34ab461913fdf1e77017d">shark::HypervolumeContributionApproximator</a></li>
<li>m_evaluationCounter&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#af0942c072be06d0dd4da5ee7067c5777">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a></li>
<li>m_evolutionPath&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a6bf2c9b5df1dbaf02ebc2d4d353bda88">shark::CMAChromosome</a></li>
<li>m_evolutionPathLearningRate&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a89bd872d3d439e5108c49dfca3a27d2b">shark::CMAChromosome</a></li>
<li>m_examples&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a511c350848efdf3c141d05ff2b9220ed">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a5a5b7d832f3d8ac9cf0cc485e6339ac8">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_exponent&#160;:&#160;<a class="el" href="classshark_1_1_monomial_kernel.html#a92c62fd356e835514461b56f474aa8ed">shark::MonomialKernel&lt; InputType &gt;</a></li>
<li>m_factor&#160;:&#160;<a class="el" href="classshark_1_1_scaled_kernel.html#a77aec6f4404eece47eeb3898ab66c6c4">shark::ScaledKernel&lt; InputType &gt;</a></li>
<li>m_feature&#160;:&#160;<a class="el" href="classshark_1_1_typed_feature_not_available_exception.html#a0f2ad7747156625252e72cf79bbede94">shark::TypedFeatureNotAvailableException&lt; Feature &gt;</a></li>
<li>m_features&#160;:&#160;<a class="el" href="classshark_1_1_abstract_clustering.html#a75910ba675486528e27893a95608510d">shark::AbstractClustering&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_constraint_handler.html#abd9bacdebce91be7f1e7ff1b9d9fc826">shark::AbstractConstraintHandler&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_abstract_cost.html#a97902a8a75733642a4472b463ae9b7dc">shark::AbstractCost&lt; LabelT, OutputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">shark::AbstractKernelFunction&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_abstract_objective_function.html#ad8888c58fd3f98e73013afb5dd4b2af1">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_abstract_optimizer.html#a72daf583d406e144b90869f311baa594">shark::AbstractOptimizer&lt; PointType, ResultT, SolutionTypeT &gt;</a></li>
<li>m_file&#160;:&#160;<a class="el" href="classshark_1_1_exception.html#a39f2cdb94a17e86c09f6a16d379e6c34">shark::Exception</a></li>
<li>m_flags&#160;:&#160;<a class="el" href="classshark_1_1_typed_flags.html#aff9738eb4f3ce7889eb9fe27450be7d9">shark::TypedFlags&lt; Flag &gt;</a></li>
<li>m_flavor&#160;:&#160;<a class="el" href="classshark_1_1_remove_budget_maintenance_strategy.html#ab7a150aeae274478480ba3b58337ba80">shark::RemoveBudgetMaintenanceStrategy&lt; InputType &gt;</a></li>
<li>m_folds&#160;:&#160;<a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a0d205e3f7137f8535c650637b4f6f46b">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>m_freeAlphaIndices&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#a864c7537427ab957fa84672bda0162d4">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>m_freeAlphas&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#afbd0b3dcbf7f6765a08e40bbbf9a145c">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>m_func&#160;:&#160;<a class="el" href="classshark_1_1_exception.html#afe8db3e3f933ba035f051e3d8415f79f">shark::Exception</a></li>
<li>m_function&#160;:&#160;<a class="el" href="classshark_1_1_line_search.html#a163fd204951c455d94e7a554df98a4d7">shark::LineSearch&lt; SearchPointType &gt;</a></li>
<li>m_gamma&#160;:&#160;<a class="el" href="classshark_1_1_gaussian_kernel_matrix.html#a237732dde8c5e1dfb23ab82aa1262d2a">shark::GaussianKernelMatrix&lt; T, CacheType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#a7e4fbf6c367dd4adfddc85c7745cc655">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_task_kernel.html#a5de378357c9dc154b1eca425849c1f67">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a>, <a class="el" href="structshark_1_1_hypervolume_contribution_approximator.html#a16d77f5544fdf01e8bfdd0427b3e00d3">shark::HypervolumeContributionApproximator</a>, <a class="el" href="classshark_1_1_r_b_f_layer.html#abe31b5060f353d51e3ad91033ea74b93">shark::RBFLayer</a></li>
<li>m_gammas&#160;:&#160;<a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#ab082dd9d73a7494f7a4343fc7deb61a6">shark::ARDKernelUnconstrained&lt; InputType &gt;</a></li>
<li>m_gl&#160;:&#160;<a class="el" href="classshark_1_1_generalization_loss.html#a24c4c4191842c84b3e74aeae1ed9477f">shark::GeneralizationLoss&lt; PointType &gt;</a></li>
<li>m_gradient&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a2e82ba7b29b20804593b91dd78e134f0">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#ae10be0310484cc2dd7b23e17a9eb2a7d">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#abe3da8520eacc5b4c5c5f1b051ad726c">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>m_height&#160;:&#160;<a class="el" href="classshark_1_1_qp_sparse_array.html#ae93f0f6c0490fd4da35ae9238a8357d2">shark::QpSparseArray&lt; QpFloatType &gt;</a></li>
<li>m_hessian&#160;:&#160;<a class="el" href="classshark_1_1_b_f_g_s.html#ab917887560f9326feac64ebcfba5a835">shark::BFGS&lt; SearchPointType &gt;</a></li>
<li>m_increaseFactor&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#acfea7fd8e09c841959fedf30c05e89e4">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_indices&#160;:&#160;<a class="el" href="classshark_1_1_difference_kernel_matrix.html#ade6fb118ba57858b7985f83823c2448a">shark::DifferenceKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>m_initialStepLength&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#a3035c91c531b9af33ff421196ee4aae9">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a></li>
<li>m_initVecs&#160;:&#160;<a class="el" href="structshark_1_1_reference_vector_adaptation.html#a7454753da4bdaef9f4a23cb66351f007">shark::ReferenceVectorAdaptation&lt; IndividualType &gt;</a></li>
<li>m_inner_radius2&#160;:&#160;<a class="el" href="classshark_1_1_circle_in_square.html#a56e17b654828286f63e06e8e6b6d3296">shark::CircleInSquare</a></li>
<li>m_inputDimensions&#160;:&#160;<a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#a03f63210b59fb4e576832033416cebeb">shark::ARDKernelUnconstrained&lt; InputType &gt;</a></li>
<li>m_inputDims&#160;:&#160;<a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a03027cc334469ae03a79f47fe428012a">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>m_inputShape&#160;:&#160;<a class="el" href="classshark_1_1_abstract_nearest_neighbors.html#a71d274e64e2eff7e1f72fa4fe3fb3473">shark::AbstractNearestNeighbors&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_c_m_a_c_map.html#affc1db09caf1b66d540713e837a00ee4">shark::CMACMap</a></li>
<li>m_inputSize&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#ab56d6a05e25bf25915d43f1cdecc38e2">shark::CMACMap</a></li>
<li>m_interval&#160;:&#160;<a class="el" href="classshark_1_1_generalization_quotient.html#afc7ae6d5d12dd3a194b598c5f77683ec">shark::GeneralizationQuotient&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_training_error.html#a2feb063411ad806f6cc25a54afec832d">shark::TrainingError&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_training_progress.html#a28ee365a24266f795f928be8e9352ba3">shark::TrainingProgress&lt; PointType &gt;</a></li>
<li>m_intervalSize&#160;:&#160;<a class="el" href="classshark_1_1_generalization_quotient.html#a44caaabadd2928c7c7b9441dd1809724">shark::GeneralizationQuotient&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_training_error.html#a66fc104b694c058f3a7e3ba7d9decc30">shark::TrainingError&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_training_progress.html#a932d896b5b2d8b2689caef279c710b2d">shark::TrainingProgress&lt; PointType &gt;</a></li>
<li>m_invert&#160;:&#160;<a class="el" href="classshark_1_1_negative_a_u_c.html#ac8ee356a559d98706eeaf115a6affe6d">shark::NegativeAUC&lt; LabelType, OutputType &gt;</a></li>
<li>m_iteration&#160;:&#160;<a class="el" href="classshark_1_1_max_iterations.html#a53aa60e7a4baf7c9253f0b873f137759">shark::MaxIterations&lt; ResultSet &gt;</a></li>
<li>m_k&#160;:&#160;<a class="el" href="structshark_1_1_merge_budget_maintenance_strategy_3_01_real_vector_01_4_1_1_merging_problem_function.html#a6504381c0a6c3b2267ad5093dd6c5140">shark::MergeBudgetMaintenanceStrategy&lt; RealVector &gt;::MergingProblemFunction</a></li>
<li>m_kernel&#160;:&#160;<a class="el" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;</a>, <a class="el" href="classshark_1_1_difference_kernel_matrix.html#a5bb9c8d113193b154331c1a8fd41a1fc">shark::DifferenceKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a80076005339d5be37635648497fd8ee8">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#ada7a1e197b8d2721ac531c68988dfd17">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_one_class_svm_trainer.html#a616102f49721e5f257875eb6d26e4fcc">shark::OneClassSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>m_kernelMatrix&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a597f5a10db64def1c34e6ba8a100865f">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#ac8b9a895906060a9d50e13b0523d4255">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_kernels&#160;:&#160;<a class="el" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502">shark::ProductKernel&lt; InputType &gt;</a></li>
<li>m_l&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#a4a784a8145636a7f0a4ca7b196900e71">shark::PCA</a></li>
<li>m_label&#160;:&#160;<a class="el" href="group__shark__globals.html#gaa5002076abc056a907733e0dfb6a4710">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>m_labelOrder&#160;:&#160;<a class="el" href="classshark_1_1_label_order.html#a6e16817308ef791fe7a7d8285a55b490">shark::LabelOrder</a></li>
<li>m_labels&#160;:&#160;<a class="el" href="classshark_1_1_modified_kernel_matrix.html#ad23e24ca77dd795e4fd54737ef2d00e8">shark::ModifiedKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>m_lambda&#160;:&#160;<a class="el" href="classshark_1_1_lasso_regression.html#a5cb2b80c46682ceaf024501043bd6cb8">shark::LassoRegression&lt; InputVectorType &gt;</a></li>
<li>m_lastDerivative&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#a6da37a4da255d8e01d1df93b9d44b016">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a></li>
<li>m_lastPoint&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#ad52639e41e70281b1829d57fc5b149d9">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a></li>
<li>m_lastStep&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#ada778d876f95126d15d8fffd0e569764">shark::CMAChromosome</a></li>
<li>m_lastValue&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#aedcacc0ad24510580e074e462c9ea1c1">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a></li>
<li>m_lastZ&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a3b0339485d78e58d3cbebb0deb1a0ca5">shark::CMAChromosome</a></li>
<li>m_line&#160;:&#160;<a class="el" href="classshark_1_1_exception.html#a865e985e7612961558fa9593a974ba72">shark::Exception</a></li>
<li>m_linear&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a6de728f85c9e5617e11df9c7ac82a232">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#acae515e014c4002712b8d7204b2e5d36">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_linesearch&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#a74e00af1aa4819d043c75a5fe445f88c">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a></li>
<li>m_lineSearchType&#160;:&#160;<a class="el" href="classshark_1_1_line_search.html#a8c7f2e10fb43999dc6a9355ce2220bfa">shark::LineSearch&lt; SearchPointType &gt;</a></li>
<li>m_logNormalization&#160;:&#160;<a class="el" href="classshark_1_1_r_b_f_layer.html#a0542425d6c552464e08a91b36fe869be">shark::RBFLayer</a></li>
<li>m_loss&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ab625d21676430dfcbab2dfce0d0a71f2">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#ada9d9dbb9f3abd4cbf09c53e0bb92fd6">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>m_lower&#160;:&#160;<a class="el" href="structshark_1_1_polynomial_mutator.html#a60daa710bb3cfd82617d4ee904e2bb45">shark::PolynomialMutator</a>, <a class="el" href="structshark_1_1_simulated_binary_crossover.html#a27a74dfc06d371b4087f3972e35ae91a">shark::SimulatedBinaryCrossover&lt; PointType &gt;</a></li>
<li>m_lowerLimit&#160;:&#160;<a class="el" href="classshark_1_1_circle_in_square.html#a22f15e5fbeb22333bba7df99e116a1b9">shark::CircleInSquare</a></li>
<li>m_M&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a2177096acfbf03594d0ec0ea8880a850">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a7b64dccd47c7db2a9fa4110b55b52c7c">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_mapping&#160;:&#160;<a class="el" href="classshark_1_1_block_matrix2x2.html#a2986a8a50723e023a3a82dafb97170eb">shark::BlockMatrix2x2&lt; Matrix &gt;</a></li>
<li>m_matrix&#160;:&#160;<a class="el" href="classshark_1_1_discrete_kernel.html#a587d3fa95d39fcb80e942e3d201755ad">shark::DiscreteKernel</a>, <a class="el" href="classshark_1_1_modified_kernel_matrix.html#ade737842934a3d6ee0d94fcabb1d8599">shark::ModifiedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_regularized_kernel_matrix.html#a20c2d877a6ec81f5862e36ba63966200">shark::RegularizedKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>m_matrixTrace&#160;:&#160;<a class="el" href="classshark_1_1_normalize_kernel_unit_variance.html#ab74729ebcf0a6d4445c4e851a184cb11">shark::NormalizeKernelUnitVariance&lt; InputType &gt;</a></li>
<li>m_maxBucketSize&#160;:&#160;<a class="el" href="classshark_1_1_tree_construction.html#a46b8dd6388568e3e101435c8cdf0efd4">shark::TreeConstruction</a></li>
<li>m_maxDelta&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#aeb42fc2e0045b5fe4ef3583c9ab879d2">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_maxDepth&#160;:&#160;<a class="el" href="classshark_1_1_tree_construction.html#a4631c3ae5ba78df8b954963e4be22e45">shark::TreeConstruction</a></li>
<li>m_maximum&#160;:&#160;<a class="el" href="classshark_1_1_nested_grid_search.html#acf852729d6bcc8ed07b07b536c216b8f">shark::NestedGridSearch</a></li>
<li>m_maxInterval&#160;:&#160;<a class="el" href="classshark_1_1_line_search.html#a9cf4541ac22048de56dfb797b2e94cec">shark::LineSearch&lt; SearchPointType &gt;</a></li>
<li>m_maxIterations&#160;:&#160;<a class="el" href="classshark_1_1_max_iterations.html#ac2733c3748855a56f1e4da293ffbd071">shark::MaxIterations&lt; ResultSet &gt;</a></li>
<li>m_maxIters&#160;:&#160;<a class="el" href="structshark_1_1_reference_vector_guided_selection.html#a3be26c2c82b5592c9c666bdedbf771c2">shark::ReferenceVectorGuidedSelection&lt; IndividualType &gt;</a></li>
<li>m_maxLoss&#160;:&#160;<a class="el" href="classshark_1_1_generalization_loss.html#a0b5d786c4d3dde585c7fcf0f68ad2f78">shark::GeneralizationLoss&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_generalization_quotient.html#a31f167df791195928dcdaf5873949330">shark::GeneralizationQuotient&lt; PointType &gt;</a></li>
<li>m_mean&#160;:&#160;<a class="el" href="classshark_1_1_cross_entropy_method.html#a4220ef22c8785fec58929087aca4f340">shark::CrossEntropyMethod</a>, <a class="el" href="classshark_1_1_normalize_kernel_unit_variance.html#afeff62443bea7ce66acaec3be0ba178d">shark::NormalizeKernelUnitVariance&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_p_c_a.html#a1a4657da75acb0e29002f9d50cc6a298">shark::PCA</a></li>
<li>m_meanPerformance&#160;:&#160;<a class="el" href="classshark_1_1_generalization_quotient.html#a5da3ce068ba4d32faf01004a11efdf05">shark::GeneralizationQuotient&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_training_progress.html#a7a77079e0170e3ebb94ee452e8c96bae">shark::TrainingProgress&lt; PointType &gt;</a></li>
<li>m_message&#160;:&#160;<a class="el" href="classshark_1_1_exception.html#adcd67f98ee9ca2b2d9ea3c8064426517">shark::Exception</a></li>
<li>m_minDelta&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#a4f24ed0314c79c6cf94d0436f3b220c4">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_minDifference&#160;:&#160;<a class="el" href="classshark_1_1_training_error.html#aeea2acf9ef31d1883c54cc6c9036c144">shark::TrainingError&lt; PointType &gt;</a></li>
<li>m_minImprovement&#160;:&#160;<a class="el" href="classshark_1_1_training_progress.html#ae3ac4627d5824dd0f29d551fdc3857c6">shark::TrainingProgress&lt; PointType &gt;</a></li>
<li>m_minImprovementRatio&#160;:&#160;<a class="el" href="classshark_1_1_trust_region_newton.html#a72c8b9f7c03fa28b9d06d2d35aed3280">shark::TrustRegionNewton</a></li>
<li>m_minimum&#160;:&#160;<a class="el" href="classshark_1_1_nested_grid_search.html#a5a473052d0b073aadc27760d91a562cd">shark::NestedGridSearch</a></li>
<li>m_minimumMultiplierDelta&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_contribution_approximator.html#a47929916ab69b0e384479ae4c20cdb62">shark::HypervolumeContributionApproximator</a></li>
<li>m_minInterval&#160;:&#160;<a class="el" href="classshark_1_1_line_search.html#ab05a9756db4f4b60d3f8b4ebbad9c6a0">shark::LineSearch&lt; SearchPointType &gt;</a></li>
<li>m_minMargin&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ace0f955650ddfcfcec23ed5eb3d33307">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>m_minTraining&#160;:&#160;<a class="el" href="classshark_1_1_generalization_loss.html#ad86076d6de3470bf35a4f9993de65ee0">shark::GeneralizationLoss&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_generalization_quotient.html#a756726c29b9de2d8fea5e8e7fb6c4f1a">shark::GeneralizationQuotient&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_training_progress.html#aab3746ac8b741a666ad8c1eb5bb115e3">shark::TrainingProgress&lt; PointType &gt;</a></li>
<li>m_minValidation&#160;:&#160;<a class="el" href="classshark_1_1_generalization_loss.html#a6f6f92bfad663f79099cad36ba849d1b">shark::GeneralizationLoss&lt; PointType &gt;</a></li>
<li>m_modifierEq&#160;:&#160;<a class="el" href="classshark_1_1_modified_kernel_matrix.html#ac05ee53bcc46dd86521d8b12141d3c35">shark::ModifiedKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>m_modifierNe&#160;:&#160;<a class="el" href="classshark_1_1_modified_kernel_matrix.html#a983bbf975879bcc92cd1ab819084ead9">shark::ModifiedKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>m_multiplierDelta&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_contribution_approximator.html#a40c556d7c0d1176e67f795cb30abbcb7">shark::HypervolumeContributionApproximator</a></li>
<li>m_mutationDistribution&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a5cae82c29c7c3423e3141ec7934db090">shark::CMAChromosome</a></li>
<li>m_mutationStrength&#160;:&#160;<a class="el" href="structshark_1_1_bitflip_mutator.html#a799d19ef46cefd24798a26fdbef8f6d2">shark::BitflipMutator</a></li>
<li>m_n&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#afaf333706ff30d74832d6e18c01c8dfa">shark::PCA</a></li>
<li>m_nc&#160;:&#160;<a class="el" href="structshark_1_1_simulated_binary_crossover.html#a9527780aa1750e443053a5d982ae7f13">shark::SimulatedBinaryCrossover&lt; PointType &gt;</a></li>
<li>m_nhp&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#ac2caaa99a014e8d38e60e17cfec5a9a0">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a02e5bdf24c4bfeca6f92fd38a4270ed9">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>m_nkp&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#aa71919c545c490a4677bd05a78d6ad64">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a1c61672212c6e54cb1178dd5bc859c04">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>m_nm&#160;:&#160;<a class="el" href="structshark_1_1_polynomial_mutator.html#ab716ed21beacc4501deaadeca839819a">shark::PolynomialMutator</a></li>
<li>m_nodes&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#ad07d8f306001f8e1bc9a321a3d11444e">shark::BinaryTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_d_tree.html#ad07d8f306001f8e1bc9a321a3d11444e">shark::KDTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#ad07d8f306001f8e1bc9a321a3d11444e">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1_l_c_tree.html#ad07d8f306001f8e1bc9a321a3d11444e">shark::LCTree&lt; VectorType, CuttingAccuracy &gt;</a></li>
<li>m_nodeValues&#160;:&#160;<a class="el" href="classshark_1_1_grid_search.html#a940a5bb29971527ff6b0dc10638e13f5">shark::GridSearch</a></li>
<li>m_noise&#160;:&#160;<a class="el" href="classshark_1_1_cross_entropy_method.html#acefe67a3f3ba30e1fc0099336b536c74">shark::CrossEntropyMethod</a></li>
<li>m_noiselevel&#160;:&#160;<a class="el" href="classshark_1_1_chessboard.html#a2407204a81c6eadf657692344f352cb9">shark::Chessboard</a>, <a class="el" href="classshark_1_1_circle_in_square.html#a5427e914bbf910a690a7b63017f8a050">shark::CircleInSquare</a>, <a class="el" href="classshark_1_1_diagonal_with_circle.html#a488467e2c361c652080f898c5cad28c0">shark::DiagonalWithCircle</a></li>
<li>m_noisePos&#160;:&#160;<a class="el" href="classshark_1_1_pami_toy.html#a84333c396fe766ff07cd3dc4bac92b9c">shark::PamiToy</a></li>
<li>m_noiseVar&#160;:&#160;<a class="el" href="classshark_1_1_pami_toy.html#a95a789beda041b7d439a501bee325947">shark::PamiToy</a></li>
<li>m_noofBoundedSVs&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#a313f8373d924b205dd5d6c9720a29449">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>m_noofFreeSVs&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#aad32ca8b5eaae5c0c00f46f05c1891d9">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>m_normal&#160;:&#160;<a class="el" href="classshark_1_1_l_c_tree.html#aa7b6ca703653d477e649edb0e2cf5fe7">shark::LCTree&lt; VectorType, CuttingAccuracy &gt;</a></li>
<li>m_normalInvNorm&#160;:&#160;<a class="el" href="classshark_1_1_k_h_c_tree.html#a55cfdcc3419ef36d6f4fa2455ebb54ab">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a></li>
<li>m_nu&#160;:&#160;<a class="el" href="classshark_1_1_one_class_svm_trainer.html#accea5fb3db14bf84c92c81f6191c00ef">shark::OneClassSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>m_numberOfParameters&#160;:&#160;<a class="el" href="classshark_1_1_product_kernel.html#a32f0a658c9e09cfc1f7229b0f129bac1">shark::ProductKernel&lt; InputType &gt;</a></li>
<li>m_numberOfVariables&#160;:&#160;<a class="el" href="classshark_1_1_cross_entropy_method.html#ad9ede2b41a61aed3bfb8795a4f63f005">shark::CrossEntropyMethod</a></li>
<li>m_numEvaluations&#160;:&#160;<a class="el" href="structshark_1_1_penalizing_evaluator.html#a1ebb35f4267c49f615fcaf712b3d74f8">shark::PenalizingEvaluator</a></li>
<li>m_numExamples&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#ad361f0ed89407eaaa8d6f9d29dfc3b6e">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a6bb02dd76df204682c6c914b9c6d8287">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_numFolds&#160;:&#160;<a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a9a17b63f0101e55aa0e3249cfc253f8c">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>m_numParameters&#160;:&#160;<a class="el" href="classshark_1_1_weighted_sum_kernel.html#aca8bc10711b10be934175ca051a9b64b">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>m_numSamples&#160;:&#160;<a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a370c5373314e75218c5802779378ac22">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>m_numVariables&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#afef2cafcc58132bacc924cf2953ac8f4">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a837aabb43bc054e78dc73e831e6ac95c">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_offset&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#ac4c1059f4f78b58888279e1c2674fb30">shark::CMACMap</a>, <a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a745df296984693159dcd99dce89e3d7f">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#a2222af2e7de2a6c68b18678f0fff1cff">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#a5476a0b246cf2094167d4f50dafdb3ec">shark::PolynomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_qp_box_linear.html#a285997ddc6b5d29ce7d22dc999032823">shark::QpBoxLinear&lt; InputT &gt;</a></li>
<li>m_oldDerivative&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#a5aaadcfbb66e181642e5458031fab3d0">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_oldValue&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#ae0aa5e8b04e94f5c47dc2f282a8cfe31">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_originalNumberOfRows&#160;:&#160;<a class="el" href="classshark_1_1_partly_precomputed_matrix.html#aedd47b5de6066fc436da1cad1a0a89c7">shark::PartlyPrecomputedMatrix&lt; Matrix &gt;</a></li>
<li>m_outer_radius2&#160;:&#160;<a class="el" href="classshark_1_1_circle_in_square.html#a9e6f9e01e9e8e8ebb9fc684e7bdcde24">shark::CircleInSquare</a></li>
<li>m_outputShape&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#a6ac5cba0a943b97b03c8c7f9b37c3a0a">shark::CMACMap</a></li>
<li>m_parameters&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#a57c34792fcd21c26783d0542e260d47c">shark::CMACMap</a></li>
<li>m_parameterSize&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#a00c8b33da2ef3ac08a9fa0f3c66bdeb1">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_parametersPerTiling&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#a7eb4aece02496b56d1a933809dd11ad3">shark::CMACMap</a></li>
<li>m_parents&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#a8462c5c2bf9b2e43aeea223e953741b2">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#ae37ebf50192f895622587471abbded2e">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#a21fe7a0d6f897ccc178db093060ee449">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_m_o_e_a_d.html#adeda7be6f7eaa47e96721438a177ffc5">shark::MOEAD</a>, <a class="el" href="classshark_1_1_r_v_e_a.html#add1ca1a478b3054ee37237d65dbf0933">shark::RVEA</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#a5f725247526a1f383241546c2c13d048">shark::SMSEMOA</a></li>
<li>m_penalizedFitness&#160;:&#160;<a class="el" href="classshark_1_1_individual.html#a4e8fa4f41a74a27cab74065ba37a4ad1">shark::Individual&lt; PointType, FitnessTypeT, Chromosome &gt;</a></li>
<li>m_penaltyFactor&#160;:&#160;<a class="el" href="structshark_1_1_penalizing_evaluator.html#aed43bc8e8fd6540c49bf525f9c60217e">shark::PenalizingEvaluator</a></li>
<li>m_points&#160;:&#160;<a class="el" href="classshark_1_1_point_search.html#a313d5465872857944cce410b2a65538d">shark::PointSearch</a></li>
<li>m_populationSize&#160;:&#160;<a class="el" href="classshark_1_1_cross_entropy_method.html#a35d2e60b1fcd955b5e4fc630cbc1373a">shark::CrossEntropyMethod</a></li>
<li>m_precomputedKernelMatrix&#160;:&#160;<a class="el" href="classshark_1_1_qp_config.html#a5d65189eed8ced4b3cadb2392cf2b46c">shark::QpConfig</a></li>
<li>m_pref&#160;:&#160;<a class="el" href="classshark_1_1_qp_box_linear.html#a98f0b8dd922bc1abdd26760f9d1de488">shark::QpBoxLinear&lt; InputT &gt;</a></li>
<li>m_preInitializationMethod&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a014dcb01ea4274f8f7fc83887573c769">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>m_prevFitness&#160;:&#160;<a class="el" href="classshark_1_1_population_based_step_size_adaptation.html#af39a53953d0b9fed248b1c8cd5557bd6">shark::PopulationBasedStepSizeAdaptation</a></li>
<li>m_prob&#160;:&#160;<a class="el" href="structshark_1_1_polynomial_mutator.html#a18200f0476b13b2b9e255f5d01f43f54">shark::PolynomialMutator</a>, <a class="el" href="structshark_1_1_simulated_binary_crossover.html#af05eeb6ee1273f45620843a6cb040c35">shark::SimulatedBinaryCrossover&lt; PointType &gt;</a></li>
<li>m_problem&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_qp_solver.html#adb8ce16903004d00cc5fa08ae56c82a8">shark::QpSolver&lt; Problem, SelectionStrategy &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#adb2ad6ad0ad2571b0985f767347223d3">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>m_progress&#160;:&#160;<a class="el" href="classshark_1_1_training_progress.html#ac49c25a85c635d8930a4b4216f787a8a">shark::TrainingProgress&lt; PointType &gt;</a></li>
<li>m_radius2&#160;:&#160;<a class="el" href="classshark_1_1_diagonal_with_circle.html#a806414331502bbbb38a87b0dafe74ddd">shark::DiagonalWithCircle</a></li>
<li>m_range&#160;:&#160;<a class="el" href="classshark_1_1_wave.html#a5eb366d6d5cbbfda637601d92aa4d633">shark::Wave</a></li>
<li>m_rank&#160;:&#160;<a class="el" href="classshark_1_1_individual.html#aa0d743b590b4190776d613863c2d88f9">shark::Individual&lt; PointType, FitnessTypeT, Chromosome &gt;</a></li>
<li>m_regularization&#160;:&#160;<a class="el" href="classshark_1_1_l_d_a.html#ac97767c25480eaa828de0f18e091f398">shark::LDA</a>, <a class="el" href="classshark_1_1_linear_regression.html#a1b3c7e48f0eee81cbb99fd05aa3e7571">shark::LinearRegression</a></li>
<li>m_regularizers&#160;:&#160;<a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;</a></li>
<li>m_row&#160;:&#160;<a class="el" href="classshark_1_1_qp_sparse_array.html#a6e8a8bd9a4ea5ad8791ad97812bbed06">shark::QpSparseArray&lt; QpFloatType &gt;</a></li>
<li>m_s&#160;:&#160;<a class="el" href="classshark_1_1_population_based_step_size_adaptation.html#a07f8ce33e17b3ccf2d6891902fe0ac8c">shark::PopulationBasedStepSizeAdaptation</a></li>
<li>m_s2do&#160;:&#160;<a class="el" href="classshark_1_1_qp_config.html#a82049a531c2f9621c737c8fe51d53739">shark::QpConfig</a></li>
<li>m_scalingCoefficients&#160;:&#160;<a class="el" href="classshark_1_1_missing_features_kernel_expansion.html#ad5a3b4ac2703bf9688433e9b9e9c61c2">shark::MissingFeaturesKernelExpansion&lt; InputType &gt;</a></li>
<li>m_scoreNegative&#160;:&#160;<a class="el" href="classshark_1_1_r_o_c.html#a3a276775f91a2249b01329458667c635">shark::ROC</a></li>
<li>m_scorePositive&#160;:&#160;<a class="el" href="classshark_1_1_r_o_c.html#a38c4316af84e776dd793015447c6780b">shark::ROC</a></li>
<li>m_searchDirection&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#a62fa9e74475370676158fea923cbf9fc">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a></li>
<li>m_searchPoint&#160;:&#160;<a class="el" href="classshark_1_1_individual.html#a0a9496e526eb4959ff769a8acd205426">shark::Individual&lt; PointType, FitnessTypeT, Chromosome &gt;</a></li>
<li>m_selected&#160;:&#160;<a class="el" href="classshark_1_1_individual.html#a5770fceb9feddc2cc92080ce9e1c2fb7">shark::Individual&lt; PointType, FitnessTypeT, Chromosome &gt;</a></li>
<li>m_selectionSize&#160;:&#160;<a class="el" href="classshark_1_1_cross_entropy_method.html#aa6bc58b439c8e2895171216060551719">shark::CrossEntropyMethod</a></li>
<li>m_shape&#160;:&#160;<a class="el" href="group__shark__globals.html#ga232e64c2421cd25794c915c399a7cfd5">shark::Data&lt; Type &gt;</a></li>
<li>m_shrinking&#160;:&#160;<a class="el" href="classshark_1_1_qp_config.html#ac7bd118550c2bfa50f9497182b4b086d">shark::QpConfig</a>, <a class="el" href="classshark_1_1_qp_mc_linear.html#a4881e1ffbdb28a0f2d0fee00373e4e09">shark::QpMcLinear&lt; InputT &gt;</a></li>
<li>m_simplex&#160;:&#160;<a class="el" href="classshark_1_1_simplex_downhill.html#a095bc7f1c01178c4d751a11a86659fce">shark::SimplexDownhill</a></li>
<li>m_size&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#a825e00e68228cb1654b5ac0a25f4972a">shark::BinaryTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_chessboard.html#a3d01f428a1b2cb519a96e83df292e536">shark::Chessboard</a>, <a class="el" href="classshark_1_1_k_d_tree.html#a825e00e68228cb1654b5ac0a25f4972a">shark::KDTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#a825e00e68228cb1654b5ac0a25f4972a">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1_l_c_tree.html#a825e00e68228cb1654b5ac0a25f4972a">shark::LCTree&lt; VectorType, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1_pami_toy.html#a128a177bba9c3d7c8740734566ce2b4c">shark::PamiToy</a></li>
<li>m_sizeNoise&#160;:&#160;<a class="el" href="classshark_1_1_pami_toy.html#a57a26d670c6e8a07b523578d3b3702a9">shark::PamiToy</a></li>
<li>m_sizeUseful&#160;:&#160;<a class="el" href="classshark_1_1_pami_toy.html#a26f24fc417342256f19c04ddefd99243">shark::PamiToy</a></li>
<li>m_solutionproperties&#160;:&#160;<a class="el" href="classshark_1_1_abstract_linear_svm_trainer.html#a994efb841504c52e509d0bac04f41fb2">shark::AbstractLinearSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_qp_config.html#a994efb841504c52e509d0bac04f41fb2">shark::QpConfig</a></li>
<li>m_sparsify&#160;:&#160;<a class="el" href="classshark_1_1_qp_config.html#a3288e99aefde9b1d7e30992d5feb582e">shark::QpConfig</a></li>
<li>m_sqrtNoPoints&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_calculator_m_d_h_o_y.html#a90890a02c212cb709e1083d70e29fef2">shark::HypervolumeCalculatorMDHOY</a></li>
<li>m_squaredNorms&#160;:&#160;<a class="el" href="classshark_1_1_gaussian_kernel_matrix.html#a5ae375f1342430555363a34f1eb9ca83">shark::GaussianKernelMatrix&lt; T, CacheType &gt;</a></li>
<li>m_startDeltaMultiplier&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_contribution_approximator.html#a9171724d5683e143759001a10f9bbb2c">shark::HypervolumeContributionApproximator</a></li>
<li>m_stddev&#160;:&#160;<a class="el" href="classshark_1_1_wave.html#addec6db7f2ddef1812673177953ecece">shark::Wave</a></li>
<li>m_stepSize&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a6af1a949711f8816d6365a6c6391ee86">shark::CMAChromosome</a></li>
<li>m_stepsize&#160;:&#160;<a class="el" href="classshark_1_1_nested_grid_search.html#a715397003da7e1d62adf9b1abde79da2">shark::NestedGridSearch</a></li>
<li>m_stepSize&#160;:&#160;<a class="el" href="classshark_1_1_population_based_step_size_adaptation.html#ac8eb6144af7204f6855aa751e99481de">shark::PopulationBasedStepSizeAdaptation</a></li>
<li>m_stepSizeDampingFactor&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a289c4958f7b199d93fdb40d6f26b66d6">shark::CMAChromosome</a></li>
<li>m_stepSizeLearningRate&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#ac74fce75d02c73cc4280f891c860ee75">shark::CMAChromosome</a></li>
<li>m_stoppingcondition&#160;:&#160;<a class="el" href="classshark_1_1_abstract_linear_svm_trainer.html#a5032921be220d76232e7db3db3ef5225">shark::AbstractLinearSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225">shark::QpConfig</a></li>
<li>m_storage1&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#ac8f39a5e9d0a8497c496f0592462208d">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a9b901d9fb12638fcbf12704c0bf41bcd">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_storage2&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a5066dbad6eaba2f469cfa3fe42bc1409">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a3e94df73fba2f12fcbdc923c062ff752">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_strategy&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_linear.html#ab5489cad6b7a0db6065331414ae21dc7">shark::QpMcLinear&lt; InputT &gt;</a></li>
<li>m_subspaceDimensions&#160;:&#160;<a class="el" href="classshark_1_1_fisher_l_d_a.html#a45e7b8a37cb5c2a64f411e82667d0fb6">shark::FisherLDA</a></li>
<li>m_successProbability&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a022346615e7fe36b57acbf3f680e3bf0">shark::CMAChromosome</a></li>
<li>m_successThreshold&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#ab36738a46bad24a90a050702062d319c">shark::CMAChromosome</a></li>
<li>m_svmCIsUnconstrained&#160;:&#160;<a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a7c5a5bb5f1a377b3133a9598e6e18af6">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>m_targetSuccessProbability&#160;:&#160;<a class="el" href="structshark_1_1_c_m_a_chromosome.html#a0b07c3150e6f2fe503e8707bfb017ead">shark::CMAChromosome</a></li>
<li>m_targetSuccessRate&#160;:&#160;<a class="el" href="classshark_1_1_population_based_step_size_adaptation.html#a63212ec0dcd18e0b0b5539ac841921ad">shark::PopulationBasedStepSizeAdaptation</a></li>
<li>m_targetVariance&#160;:&#160;<a class="el" href="classshark_1_1_normalize_components_z_c_a.html#ad7403e2b1ec8d5df37ecc00ddef0ec7c">shark::NormalizeComponentsZCA</a></li>
<li>m_threshold&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#a1d2b86563df35585acbbb0364d3a7450">shark::BinaryTree&lt; InputT &gt;</a></li>
<li>m_tileBounds&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#a8f5ac6df99e391cb3c6774c17f658062">shark::CMACMap</a></li>
<li>m_tilings&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#a1f8b8b4ff4907c0211c2f174caedf62e">shark::CMACMap</a></li>
<li>m_trainCenters&#160;:&#160;<a class="el" href="classshark_1_1_r_b_f_layer.html#ae255d94e66059ddd373c4690aa25f5cc">shark::RBFLayer</a></li>
<li>m_trainOffset&#160;:&#160;<a class="el" href="classshark_1_1_abstract_linear_svm_trainer.html#aef391c43b6111422e95ae58797ce36c8">shark::AbstractLinearSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aee47ba0de2c00b34c32e78ec9751c121">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;</a></li>
<li>m_trainWidth&#160;:&#160;<a class="el" href="classshark_1_1_r_b_f_layer.html#a73ce38fb63627cc5f1ae4ad8c3aae9db">shark::RBFLayer</a></li>
<li>m_unconstrained&#160;:&#160;<a class="el" href="classshark_1_1_abstract_linear_svm_trainer.html#a431b4445a96cafef50a412a33b906a55">shark::AbstractLinearSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;</a>, <a class="el" href="classshark_1_1_c_svm_derivative.html#a1ee6eca2ca7f7d17fcbd8cb0e9a6838f">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#ab2c897f864da671ebcdaf7051a87cbd1">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a8cdbe89d6b1e2890ef965f6fd01a747e">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#acc37f18ac6b0d7bf0a526f960ad4c4b6">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#a6877e2622378afb878f10bb20dee43f9">shark::PolynomialKernel&lt; InputType &gt;</a></li>
<li>m_unpenalizedFitness&#160;:&#160;<a class="el" href="classshark_1_1_individual.html#a7f61d70d13c293b174868bdae680f5af">shark::Individual&lt; PointType, FitnessTypeT, Chromosome &gt;</a></li>
<li>m_upper&#160;:&#160;<a class="el" href="structshark_1_1_polynomial_mutator.html#a51dd8d821b07cc13d51eb43187ee9141">shark::PolynomialMutator</a>, <a class="el" href="structshark_1_1_simulated_binary_crossover.html#a550046585e0d867cc63bbbd6cb2bd437">shark::SimulatedBinaryCrossover&lt; PointType &gt;</a></li>
<li>m_upperLimit&#160;:&#160;<a class="el" href="classshark_1_1_circle_in_square.html#a91ae8e519fbef45186215cc467c6fc11">shark::CircleInSquare</a></li>
<li>m_useBacktracking&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#a21e63bfe6371ae23ada9529230a0b473">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_used&#160;:&#160;<a class="el" href="classshark_1_1_qp_sparse_array.html#a1c4341610157c57de2350e31c3c72067">shark::QpSparseArray&lt; QpFloatType &gt;</a></li>
<li>m_useFreezing&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#af99be2b46efa0f35e4e9ce63aa046c8f">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_useOldValue&#160;:&#160;<a class="el" href="classshark_1_1_rprop.html#a013068bdc4b644904c14f0b732173af3">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>m_useShrinking&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a0ef3e99fcf33b83ee4876e80149cd2e9">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#af69f443110c3a0e0c6d34ec331c71a8a">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_variables&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a9154f8aa555a2bc3b290a33884c554ee">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#af6d2c8d896fddf2d93b6c3941301ca3d">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>m_variance&#160;:&#160;<a class="el" href="classshark_1_1_cross_entropy_method.html#a4fd98c5d17d4d963b3f478c2d3801183">shark::CrossEntropyMethod</a></li>
<li>m_verbosity&#160;:&#160;<a class="el" href="classshark_1_1_abstract_linear_svm_trainer.html#ad6f54a3b58cd6a2e1774d5decf8fcc79">shark::AbstractLinearSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_qp_config.html#ad6f54a3b58cd6a2e1774d5decf8fcc79">shark::QpConfig</a></li>
<li>m_weight&#160;:&#160;<a class="el" href="classshark_1_1_combined_objective_function.html#aefd0b345fe952b7c58db5ec85c84ebf0">shark::CombinedObjectiveFunction&lt; SearchPointType, ResultT &gt;</a></li>
<li>m_weights&#160;:&#160;<a class="el" href="classshark_1_1_qp_box_linear.html#a83c9d19b5cde386a1236928a7ffd94b4">shark::QpBoxLinear&lt; InputT &gt;</a></li>
<li>m_weightsum&#160;:&#160;<a class="el" href="classshark_1_1_weighted_sum_kernel.html#aff1ee3807f90b696b4e5e367d0091e1b">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>m_what&#160;:&#160;<a class="el" href="classshark_1_1_exception.html#ae79f2a9e42db65601cc6c236a528a677">shark::Exception</a></li>
<li>m_whitening&#160;:&#160;<a class="el" href="classshark_1_1_fisher_l_d_a.html#a51c21f980e6c7fba606824aa032ac914">shark::FisherLDA</a>, <a class="el" href="classshark_1_1_p_c_a.html#a09654e9c3e1eba7522ab8e389457fbd0">shark::PCA</a></li>
<li>m_width&#160;:&#160;<a class="el" href="classshark_1_1_qp_sparse_array.html#a952bfa4094a1550df61de8cec113b31e">shark::QpSparseArray&lt; QpFloatType &gt;</a></li>
<li>m_xSquared&#160;:&#160;<a class="el" href="classshark_1_1_qp_box_linear.html#a78c4ce2d9151c4b7014e5850d0125171">shark::QpBoxLinear&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear.html#adb2a6e9f3681450a55dd5764648d0cb6">shark::QpMcLinear&lt; InputT &gt;</a></li>
<li>m_zeroMean&#160;:&#160;<a class="el" href="classshark_1_1_normalize_components_unit_variance.html#ad230e64a07b58fce1c32326f20d72e26">shark::NormalizeComponentsUnitVariance&lt; DataType &gt;</a></li>
<li>matrix&#160;:&#160;<a class="el" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2">shark::PrecomputedMatrix&lt; Matrix &gt;</a></li>
<li>maxIterations&#160;:&#160;<a class="el" href="structshark_1_1_qp_stopping_condition.html#af747ff263a208a610fc2ca4dccec44d6">shark::QpStoppingCondition</a></li>
<li>maxSeconds&#160;:&#160;<a class="el" href="structshark_1_1_qp_stopping_condition.html#a2f2037cc62c817ff88ec0801591a0240">shark::QpStoppingCondition</a></li>
<li>mep_baseMatrix&#160;:&#160;<a class="el" href="classshark_1_1_cached_matrix.html#aec2edea13ec507ae67076d98cdfd687d">shark::CachedMatrix&lt; Matrix &gt;</a></li>
<li>mep_clustering&#160;:&#160;<a class="el" href="classshark_1_1_clustering_model.html#a5d0fce468545d9074663b3a530109de3">shark::ClusteringModel&lt; InputT, OutputT &gt;</a></li>
<li>mep_k&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#a8e58aaf2f55f175568cf51728c5c86f2">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>mep_ke&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#a01ce15f34ecda8ecc078af90d254946d">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>mep_kernel&#160;:&#160;<a class="el" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad">shark::KernelExpansion&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#acd6aae2b85d97855361171d95de281b9">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1_radius_margin_quotient.html#a5414bd1a47ec645662a85aa9a62f969e">shark::RadiusMarginQuotient&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_svm_logistic_interpretation.html#ae6a2b133a65cdb723b3a5fe4b71b961b">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>mep_loss&#160;:&#160;<a class="el" href="classshark_1_1_loo_error.html#a44b42d66c0a82c1605a3051d0641c471">shark::LooError&lt; ModelTypeT, LabelType &gt;</a>, <a class="el" href="classshark_1_1_optimization_trainer.html#afb616dd8695689cafff3d678ba36e4ef">shark::OptimizationTrainer&lt; Model, LabelTypeT &gt;</a></li>
<li>mep_meta&#160;:&#160;<a class="el" href="classshark_1_1_loo_error.html#aea70652be0f160c383401a7355f298f0">shark::LooError&lt; ModelTypeT, LabelType &gt;</a></li>
<li>mep_model&#160;:&#160;<a class="el" href="classshark_1_1_loo_error.html#a381cef0b5509ecb47d8689d7bc31a0af">shark::LooError&lt; ModelTypeT, LabelType &gt;</a></li>
<li>mep_negative&#160;:&#160;<a class="el" href="classshark_1_1_k_h_c_tree.html#a65a65d149ed69d95c9c8782e42cd0226">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a></li>
<li>mep_optimizer&#160;:&#160;<a class="el" href="classshark_1_1_optimization_trainer.html#a1f460e07d0acdcd22d14833b3bf0cd16">shark::OptimizationTrainer&lt; Model, LabelTypeT &gt;</a></li>
<li>mep_parent&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#a100ef54d8a4904afff8c188bf4e735f9">shark::BinaryTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_d_tree.html#a100ef54d8a4904afff8c188bf4e735f9">shark::KDTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#a100ef54d8a4904afff8c188bf4e735f9">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1_l_c_tree.html#a100ef54d8a4904afff8c188bf4e735f9">shark::LCTree&lt; VectorType, CuttingAccuracy &gt;</a></li>
<li>mep_positive&#160;:&#160;<a class="el" href="classshark_1_1_k_h_c_tree.html#a62c2a26944e5c4d7f6ce9a93208b4956">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a></li>
<li>mep_rng&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#a6a27bddca6060f7861c49b05f8ec8435">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a></li>
<li>mep_stoppingCriterion&#160;:&#160;<a class="el" href="classshark_1_1_optimization_trainer.html#a80fc3d270c449461327a702f7d9f223d">shark::OptimizationTrainer&lt; Model, LabelTypeT &gt;</a></li>
<li>mep_svmStoppingCondition&#160;:&#160;<a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a19565575b801e17ebdf3597bc49bd526">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>mep_tr&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#ae8a6a9c55b58567e079637463464069d">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>mep_trainer&#160;:&#160;<a class="el" href="classshark_1_1_loo_error.html#ad1255ac86d5d31b56156ee7a4b9a6783">shark::LooError&lt; ModelTypeT, LabelType &gt;</a></li>
<li>mep_tree&#160;:&#160;<a class="el" href="classshark_1_1_hierarchical_clustering.html#a385537eec18cd6338802acb9d4f39078">shark::HierarchicalClustering&lt; InputT &gt;</a></li>
<li>minAccuracy&#160;:&#160;<a class="el" href="structshark_1_1_qp_stopping_condition.html#addc2ea7f6d15eb25187586e329f33ace">shark::QpStoppingCondition</a></li>
<li>mp_indexList&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#afdce442d41868d9a84dcfc954c78ce93">shark::BinaryTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_d_tree.html#afdce442d41868d9a84dcfc954c78ce93">shark::KDTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#afdce442d41868d9a84dcfc954c78ce93">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1_l_c_tree.html#afdce442d41868d9a84dcfc954c78ce93">shark::LCTree&lt; VectorType, CuttingAccuracy &gt;</a></li>
<li>mp_left&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#a14c17e4fc65d1351cc23eceae05ce0d0">shark::BinaryTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_d_tree.html#a14c17e4fc65d1351cc23eceae05ce0d0">shark::KDTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#a14c17e4fc65d1351cc23eceae05ce0d0">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1_l_c_tree.html#a14c17e4fc65d1351cc23eceae05ce0d0">shark::LCTree&lt; VectorType, CuttingAccuracy &gt;</a></li>
<li>mp_right&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#acc95bb731d3bfac4a896820f8de04ad8">shark::BinaryTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_d_tree.html#acc95bb731d3bfac4a896820f8de04ad8">shark::KDTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#acc95bb731d3bfac4a896820f8de04ad8">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1_l_c_tree.html#acc95bb731d3bfac4a896820f8de04ad8">shark::LCTree&lt; VectorType, CuttingAccuracy &gt;</a></li>
<li>mpe_child&#160;:&#160;<a class="el" href="classshark_1_1_validated_stopping_criterion.html#a0c28ec151ef4cbc393c610e153a00354">shark::ValidatedStoppingCriterion</a></li>
<li>mpe_inputKernel&#160;:&#160;<a class="el" href="classshark_1_1_gaussian_task_kernel.html#a56ca3c04e44896711e14dbea30325c6a">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a></li>
<li>mpe_kernel&#160;:&#160;<a class="el" href="classshark_1_1_kernel_mean_classifier.html#aa3d65c3cfebd511aa4014cbc49ac729b">shark::KernelMeanClassifier&lt; InputType &gt;</a></li>
<li>mpe_rng&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#ac5dd0f7f65c84aad1ac1bce30be4e5c0">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a></li>
<li>mpe_validation&#160;:&#160;<a class="el" href="classshark_1_1_validated_stopping_criterion.html#a53082362bceeab83131802fb3dd62f52">shark::ValidatedStoppingCriterion</a></li>
</ul>
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